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The performance of the implementation is practical, with signaling latency averaging 0.5 s when the number of peers is 1000.
Performance of the implementation is measured with a scaleable number of processors and compared to a sequential reference implementation.
The communication times are very important and any improvement on this communication would have a significant performance of the implementation.
Additionally, performance of the implementation has been evaluated from data quality evaluation point of view.
Thus, for the analysis of our system we evaluate the performance of the implementation both in accuracy and running speed.
Such experiments should consider other FMs to investigate the performance of the implementation and the impact of using the matrices associated to the fitness.
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The accuracy and performance of the implementations were measured by comparison with the analytic solution for a layered model and for a vertical gradient model.
We evaluate and analyze the performance of the implementations in terms of the response time and speed-up factor by varying the number of processors and various video coding parameters.
In this section, the performances of the implementation proposed in Section 2 are assessed and illustrated on the processing of optical images from a digital camera installed for glacier monitoring.
Measurements were performed to evaluate the performance of the FPGA implementation.
The advantage of using this platform is the availability of models that approximate well the performance of the final implementation when performing the mapping from function to architecture thus yielding a robust design methodology.
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